mirror of
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feat(backend): implement comprehensive caching layer for all GET endpoints (Part 2)
- Created separate cache.py modules for better code organization - backend/server/routers/cache.py for V1 API endpoints - backend/server/v2/library/cache.py for library endpoints - backend/server/v2/store/cache.py (refactored from routes) - Added caching to all major GET endpoints: - Graphs list/details with 15-30 min TTL - Graph executions with 5 min TTL - User preferences/timezone with 30-60 min TTL - Library agents/favorites/presets with 10-30 min TTL - Store listings/profiles with 5-60 min TTL - Implemented intelligent cache invalidation: - Clears relevant caches on CREATE/UPDATE/DELETE operations - Uses positional arguments for cache_delete to match function calls - Selective caching only for default queries (bypasses cache for filtered/searched results) - Added comprehensive test coverage: - 20 cache-specific tests all passing - Validates cache hit/miss behavior - Verifies invalidation on mutations - Performance improvements: - Reduces database load for frequently accessed data - Built-in thundering herd protection via @cached decorator - Configurable TTLs based on data volatility
This commit is contained in:
Swifty
137
autogpt_platform/backend/backend/server/routers/cache.py
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137
autogpt_platform/backend/backend/server/routers/cache.py
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@@ -0,0 +1,137 @@
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"""
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Cache functions for main V1 API endpoints.
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This module contains all caching decorators and helpers for the V1 API,
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separated from the main routes for better organization and maintainability.
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"""
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from typing import Sequence
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from autogpt_libs.utils.cache import cached
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from backend.data import block as block_db
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from backend.data import execution as execution_db
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from backend.data import graph as graph_db
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from backend.data import user as user_db
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# ===== Block Caches =====
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# Cache block definitions - they rarely change
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@cached(maxsize=1, ttl_seconds=3600)
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def get_cached_graph_blocks():
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"""Cached helper to get available graph blocks."""
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return block_db.get_blocks()
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# ===== Graph Caches =====
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# Cache user's graphs list for 15 minutes
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@cached(maxsize=1000, ttl_seconds=900)
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async def get_cached_graphs(
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user_id: str,
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page: int,
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page_size: int,
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):
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"""Cached helper to get user's graphs."""
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return await graph_db.list_graphs_paginated(
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user_id=user_id,
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page=page,
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page_size=page_size,
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)
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# Cache individual graph details for 30 minutes
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@cached(maxsize=500, ttl_seconds=1800)
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async def get_cached_graph(
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graph_id: str,
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version: int | None,
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user_id: str,
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):
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"""Cached helper to get graph details."""
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return await graph_db.get_graph(
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graph_id=graph_id,
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version=version,
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user_id=user_id,
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)
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# Cache graph versions for 30 minutes
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@cached(maxsize=500, ttl_seconds=1800)
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async def get_cached_graph_all_versions(
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graph_id: str,
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user_id: str,
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) -> Sequence[graph_db.GraphModel]:
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"""Cached helper to get all versions of a graph."""
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return await graph_db.get_graph_all_versions(
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graph_id=graph_id,
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user_id=user_id,
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)
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# ===== Execution Caches =====
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# Cache graph executions for 5 minutes (they update frequently)
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@cached(maxsize=1000, ttl_seconds=300)
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async def get_cached_graph_executions(
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graph_id: str,
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user_id: str,
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page: int,
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page_size: int,
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):
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"""Cached helper to get graph executions."""
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return await execution_db.get_graph_executions_paginated(
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graph_id=graph_id,
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user_id=user_id,
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page=page,
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page_size=page_size,
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)
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# Cache all user executions for 5 minutes
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@cached(maxsize=500, ttl_seconds=300)
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async def get_cached_graphs_executions(
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user_id: str,
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page: int,
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page_size: int,
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):
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"""Cached helper to get all user's graph executions."""
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return await execution_db.get_graph_executions_paginated(
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user_id=user_id,
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page=page,
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page_size=page_size,
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)
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# Cache individual execution details for 10 minutes
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@cached(maxsize=1000, ttl_seconds=600)
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async def get_cached_graph_execution(
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graph_exec_id: str,
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user_id: str,
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):
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"""Cached helper to get graph execution details."""
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return await execution_db.get_graph_execution(
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user_id=user_id,
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execution_id=graph_exec_id,
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include_node_executions=False,
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)
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# ===== User Preference Caches =====
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# Cache user timezone for 1 hour
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@cached(maxsize=1000, ttl_seconds=3600)
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async def get_cached_user_timezone(user_id: str):
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"""Cached helper to get user timezone."""
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user = await user_db.get_user_by_id(user_id)
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return {"timezone": user.timezone if user else "UTC"}
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# Cache user preferences for 30 minutes
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@cached(maxsize=1000, ttl_seconds=1800)
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async def get_cached_user_preferences(user_id: str):
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"""Cached helper to get user notification preferences."""
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return await user_db.get_user_notification_preference(user_id)
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346
autogpt_platform/backend/backend/server/routers/cache_test.py
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346
autogpt_platform/backend/backend/server/routers/cache_test.py
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@@ -0,0 +1,346 @@
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"""
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Tests for cache invalidation in V1 API routes.
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This module tests that caches are properly invalidated when data is modified
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through POST, PUT, PATCH, and DELETE operations.
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"""
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import uuid
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from unittest.mock import AsyncMock, MagicMock, patch
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import pytest
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import backend.server.routers.cache as cache
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from backend.data import graph as graph_db
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@pytest.fixture
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def mock_user_id():
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"""Generate a mock user ID for testing."""
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return str(uuid.uuid4())
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@pytest.fixture
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def mock_graph_id():
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"""Generate a mock graph ID for testing."""
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return str(uuid.uuid4())
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class TestGraphCacheInvalidation:
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"""Test cache invalidation for graph operations."""
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@pytest.mark.asyncio
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async def test_create_graph_clears_list_cache(self, mock_user_id):
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"""Test that creating a graph clears the graphs list cache."""
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# Setup
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cache.get_cached_graphs.cache_clear()
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# Pre-populate cache
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with patch.object(
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graph_db, "list_graphs_paginated", new_callable=AsyncMock
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) as mock_list:
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mock_list.return_value = MagicMock(graphs=[])
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# First call should hit the database
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await cache.get_cached_graphs(mock_user_id, 1, 250)
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assert mock_list.call_count == 1
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# Second call should use cache
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await cache.get_cached_graphs(mock_user_id, 1, 250)
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assert mock_list.call_count == 1 # Still 1, used cache
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# Simulate cache invalidation (what happens in create_new_graph)
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cache.get_cached_graphs.cache_delete(mock_user_id, 1, 250)
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# Next call should hit database again
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await cache.get_cached_graphs(mock_user_id, 1, 250)
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assert mock_list.call_count == 2 # Incremented, cache was cleared
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@pytest.mark.asyncio
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async def test_delete_graph_clears_multiple_caches(
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self, mock_user_id, mock_graph_id
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):
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"""Test that deleting a graph clears all related caches."""
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# Clear all caches first
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cache.get_cached_graphs.cache_clear()
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cache.get_cached_graph.cache_clear()
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cache.get_cached_graph_all_versions.cache_clear()
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cache.get_cached_graph_executions.cache_clear()
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# Setup mocks
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with patch.object(
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graph_db, "list_graphs_paginated", new_callable=AsyncMock
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) as mock_list, patch.object(
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graph_db, "get_graph", new_callable=AsyncMock
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) as mock_get, patch.object(
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graph_db, "get_graph_all_versions", new_callable=AsyncMock
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) as mock_versions:
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mock_list.return_value = MagicMock(graphs=[])
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mock_get.return_value = MagicMock(id=mock_graph_id)
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mock_versions.return_value = []
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# Pre-populate all caches (use consistent argument style)
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await cache.get_cached_graphs(mock_user_id, 1, 250)
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await cache.get_cached_graph(mock_graph_id, None, mock_user_id)
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await cache.get_cached_graph_all_versions(mock_graph_id, mock_user_id)
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initial_calls = {
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"list": mock_list.call_count,
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"get": mock_get.call_count,
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"versions": mock_versions.call_count,
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}
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# Use cached values (no additional DB calls)
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await cache.get_cached_graphs(mock_user_id, 1, 250)
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await cache.get_cached_graph(mock_graph_id, None, mock_user_id)
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await cache.get_cached_graph_all_versions(mock_graph_id, mock_user_id)
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# Verify cache was used
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assert mock_list.call_count == initial_calls["list"]
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assert mock_get.call_count == initial_calls["get"]
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assert mock_versions.call_count == initial_calls["versions"]
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# Simulate delete_graph cache invalidation
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# Use positional arguments for cache_delete to match how we called the functions
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result1 = cache.get_cached_graphs.cache_delete(mock_user_id, 1, 250)
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result2 = cache.get_cached_graph.cache_delete(
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mock_graph_id, None, mock_user_id
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)
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result3 = cache.get_cached_graph_all_versions.cache_delete(
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mock_graph_id, mock_user_id
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)
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# Verify that the cache entries were actually deleted
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assert result1, "Failed to delete graphs cache entry"
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assert result2, "Failed to delete graph cache entry"
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assert result3, "Failed to delete graph versions cache entry"
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# Next calls should hit database
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await cache.get_cached_graphs(mock_user_id, 1, 250)
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await cache.get_cached_graph(mock_graph_id, None, mock_user_id)
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await cache.get_cached_graph_all_versions(mock_graph_id, mock_user_id)
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# Verify database was called again
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assert mock_list.call_count == initial_calls["list"] + 1
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assert mock_get.call_count == initial_calls["get"] + 1
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assert mock_versions.call_count == initial_calls["versions"] + 1
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@pytest.mark.asyncio
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async def test_update_graph_clears_caches(self, mock_user_id, mock_graph_id):
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"""Test that updating a graph clears the appropriate caches."""
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# Clear caches
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cache.get_cached_graph.cache_clear()
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cache.get_cached_graph_all_versions.cache_clear()
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cache.get_cached_graphs.cache_clear()
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with patch.object(
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graph_db, "get_graph", new_callable=AsyncMock
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) as mock_get, patch.object(
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graph_db, "get_graph_all_versions", new_callable=AsyncMock
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) as mock_versions, patch.object(
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graph_db, "list_graphs_paginated", new_callable=AsyncMock
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) as mock_list:
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mock_get.return_value = MagicMock(id=mock_graph_id, version=1)
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mock_versions.return_value = [MagicMock(version=1)]
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mock_list.return_value = MagicMock(graphs=[])
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# Populate caches
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await cache.get_cached_graph(mock_graph_id, None, mock_user_id)
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await cache.get_cached_graph_all_versions(mock_graph_id, mock_user_id)
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await cache.get_cached_graphs(mock_user_id, 1, 250)
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initial_calls = {
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"get": mock_get.call_count,
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"versions": mock_versions.call_count,
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"list": mock_list.call_count,
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}
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# Verify cache is being used
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await cache.get_cached_graph(mock_graph_id, None, mock_user_id)
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await cache.get_cached_graph_all_versions(mock_graph_id, mock_user_id)
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await cache.get_cached_graphs(mock_user_id, 1, 250)
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assert mock_get.call_count == initial_calls["get"]
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assert mock_versions.call_count == initial_calls["versions"]
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assert mock_list.call_count == initial_calls["list"]
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# Simulate update_graph cache invalidation
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cache.get_cached_graph.cache_delete(mock_graph_id, None, mock_user_id)
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cache.get_cached_graph_all_versions.cache_delete(
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mock_graph_id, mock_user_id
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)
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cache.get_cached_graphs.cache_delete(mock_user_id, 1, 250)
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# Next calls should hit database
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await cache.get_cached_graph(mock_graph_id, None, mock_user_id)
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await cache.get_cached_graph_all_versions(mock_graph_id, mock_user_id)
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await cache.get_cached_graphs(mock_user_id, 1, 250)
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assert mock_get.call_count == initial_calls["get"] + 1
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assert mock_versions.call_count == initial_calls["versions"] + 1
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assert mock_list.call_count == initial_calls["list"] + 1
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class TestUserPreferencesCacheInvalidation:
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"""Test cache invalidation for user preferences operations."""
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@pytest.mark.asyncio
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async def test_update_preferences_clears_cache(self, mock_user_id):
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"""Test that updating preferences clears the preferences cache."""
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# Clear cache
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cache.get_cached_user_preferences.cache_clear()
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with patch.object(
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cache.user_db, "get_user_notification_preference", new_callable=AsyncMock
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) as mock_get_prefs:
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mock_prefs = MagicMock(email_notifications=True, push_notifications=False)
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mock_get_prefs.return_value = mock_prefs
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# First call hits database
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result1 = await cache.get_cached_user_preferences(mock_user_id)
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assert mock_get_prefs.call_count == 1
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assert result1 == mock_prefs
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# Second call uses cache
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result2 = await cache.get_cached_user_preferences(mock_user_id)
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assert mock_get_prefs.call_count == 1 # Still 1
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assert result2 == mock_prefs
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# Simulate update_preferences cache invalidation
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cache.get_cached_user_preferences.cache_delete(mock_user_id)
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# Change the mock return value to simulate updated preferences
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mock_prefs_updated = MagicMock(
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email_notifications=False, push_notifications=True
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)
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mock_get_prefs.return_value = mock_prefs_updated
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# Next call should hit database and get new value
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result3 = await cache.get_cached_user_preferences(mock_user_id)
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assert mock_get_prefs.call_count == 2
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assert result3 == mock_prefs_updated
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@pytest.mark.asyncio
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async def test_timezone_cache_operations(self, mock_user_id):
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"""Test timezone cache and its operations."""
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# Clear cache
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cache.get_cached_user_timezone.cache_clear()
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with patch.object(
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cache.user_db, "get_user_by_id", new_callable=AsyncMock
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) as mock_get_user:
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mock_user = MagicMock(timezone="America/New_York")
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mock_get_user.return_value = mock_user
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# First call hits database
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result1 = await cache.get_cached_user_timezone(mock_user_id)
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assert mock_get_user.call_count == 1
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assert result1["timezone"] == "America/New_York"
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# Second call uses cache
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result2 = await cache.get_cached_user_timezone(mock_user_id)
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assert mock_get_user.call_count == 1 # Still 1
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assert result2["timezone"] == "America/New_York"
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# Clear cache manually (simulating what would happen after update)
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cache.get_cached_user_timezone.cache_delete(mock_user_id)
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# Change timezone
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mock_user.timezone = "Europe/London"
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# Next call should hit database
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result3 = await cache.get_cached_user_timezone(mock_user_id)
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assert mock_get_user.call_count == 2
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assert result3["timezone"] == "Europe/London"
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class TestExecutionCacheInvalidation:
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"""Test cache invalidation for execution operations."""
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@pytest.mark.asyncio
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async def test_execution_cache_cleared_on_graph_delete(
|
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self, mock_user_id, mock_graph_id
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):
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"""Test that execution caches are cleared when a graph is deleted."""
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# Clear cache
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cache.get_cached_graph_executions.cache_clear()
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with patch.object(
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cache.execution_db, "get_graph_executions_paginated", new_callable=AsyncMock
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) as mock_exec:
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mock_exec.return_value = MagicMock(executions=[])
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# Populate cache for multiple pages
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for page in range(1, 4):
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await cache.get_cached_graph_executions(
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mock_graph_id, mock_user_id, page, 25
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)
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initial_calls = mock_exec.call_count
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|
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# Verify cache is used
|
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for page in range(1, 4):
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await cache.get_cached_graph_executions(
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mock_graph_id, mock_user_id, page, 25
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)
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assert mock_exec.call_count == initial_calls # No new calls
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# Simulate graph deletion clearing execution caches
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for page in range(1, 10): # Clear more pages as done in delete_graph
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cache.get_cached_graph_executions.cache_delete(
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mock_graph_id, mock_user_id, page, 25
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)
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|
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# Next calls should hit database
|
||||
for page in range(1, 4):
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await cache.get_cached_graph_executions(
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mock_graph_id, mock_user_id, page, 25
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)
|
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|
||||
assert mock_exec.call_count == initial_calls + 3 # 3 new calls
|
||||
|
||||
|
||||
class TestCacheInfo:
|
||||
"""Test cache information and metrics."""
|
||||
|
||||
def test_cache_info_returns_correct_metrics(self):
|
||||
"""Test that cache_info returns correct metrics."""
|
||||
# Clear all caches
|
||||
cache.get_cached_graphs.cache_clear()
|
||||
cache.get_cached_graph.cache_clear()
|
||||
|
||||
# Get initial info
|
||||
info_graphs = cache.get_cached_graphs.cache_info()
|
||||
info_graph = cache.get_cached_graph.cache_info()
|
||||
|
||||
assert info_graphs["size"] == 0
|
||||
assert info_graph["size"] == 0
|
||||
|
||||
# Note: We can't directly test cache population without real async context,
|
||||
# but we can verify the cache_info structure
|
||||
assert "size" in info_graphs
|
||||
assert "maxsize" in info_graphs
|
||||
assert "ttl_seconds" in info_graphs
|
||||
|
||||
def test_cache_clear_removes_all_entries(self):
|
||||
"""Test that cache_clear removes all entries."""
|
||||
# This test verifies the cache_clear method exists and can be called
|
||||
cache.get_cached_graphs.cache_clear()
|
||||
cache.get_cached_graph.cache_clear()
|
||||
cache.get_cached_graph_all_versions.cache_clear()
|
||||
cache.get_cached_graph_executions.cache_clear()
|
||||
cache.get_cached_graphs_executions.cache_clear()
|
||||
cache.get_cached_user_preferences.cache_clear()
|
||||
cache.get_cached_user_timezone.cache_clear()
|
||||
|
||||
# After clear, all caches should be empty
|
||||
assert cache.get_cached_graphs.cache_info()["size"] == 0
|
||||
assert cache.get_cached_graph.cache_info()["size"] == 0
|
||||
assert cache.get_cached_graph_all_versions.cache_info()["size"] == 0
|
||||
assert cache.get_cached_graph_executions.cache_info()["size"] == 0
|
||||
assert cache.get_cached_graphs_executions.cache_info()["size"] == 0
|
||||
assert cache.get_cached_user_preferences.cache_info()["size"] == 0
|
||||
assert cache.get_cached_user_timezone.cache_info()["size"] == 0
|
||||
@@ -29,6 +29,7 @@ from typing_extensions import Optional, TypedDict
|
||||
|
||||
import backend.server.integrations.router
|
||||
import backend.server.routers.analytics
|
||||
import backend.server.routers.cache as cache
|
||||
import backend.server.v2.library.db as library_db
|
||||
from backend.data import api_key as api_key_db
|
||||
from backend.data import execution as execution_db
|
||||
@@ -55,7 +56,6 @@ from backend.data.onboarding import (
|
||||
from backend.data.user import (
|
||||
get_or_create_user,
|
||||
get_user_by_id,
|
||||
get_user_notification_preference,
|
||||
update_user_email,
|
||||
update_user_notification_preference,
|
||||
update_user_timezone,
|
||||
@@ -165,7 +165,9 @@ async def get_user_timezone_route(
|
||||
) -> TimezoneResponse:
|
||||
"""Get user timezone setting."""
|
||||
user = await get_or_create_user(user_data)
|
||||
return TimezoneResponse(timezone=user.timezone)
|
||||
# Use cached timezone for subsequent calls
|
||||
result = await cache.get_cached_user_timezone(user.id)
|
||||
return TimezoneResponse(timezone=result["timezone"])
|
||||
|
||||
|
||||
@v1_router.post(
|
||||
@@ -191,7 +193,7 @@ async def update_user_timezone_route(
|
||||
async def get_preferences(
|
||||
user_id: Annotated[str, Security(get_user_id)],
|
||||
) -> NotificationPreference:
|
||||
preferences = await get_user_notification_preference(user_id)
|
||||
preferences = await cache.get_cached_user_preferences(user_id)
|
||||
return preferences
|
||||
|
||||
|
||||
@@ -206,6 +208,10 @@ async def update_preferences(
|
||||
preferences: NotificationPreferenceDTO = Body(...),
|
||||
) -> NotificationPreference:
|
||||
output = await update_user_notification_preference(user_id, preferences)
|
||||
|
||||
# Clear preferences cache after update
|
||||
cache.get_cached_user_preferences.cache_delete(user_id)
|
||||
|
||||
return output
|
||||
|
||||
|
||||
@@ -633,11 +639,10 @@ class DeleteGraphResponse(TypedDict):
|
||||
async def list_graphs(
|
||||
user_id: Annotated[str, Security(get_user_id)],
|
||||
) -> Sequence[graph_db.GraphMeta]:
|
||||
paginated_result = await graph_db.list_graphs_paginated(
|
||||
paginated_result = await cache.get_cached_graphs(
|
||||
user_id=user_id,
|
||||
page=1,
|
||||
page_size=250,
|
||||
filter_by="active",
|
||||
)
|
||||
return paginated_result.graphs
|
||||
|
||||
@@ -660,13 +665,21 @@ async def get_graph(
|
||||
version: int | None = None,
|
||||
for_export: bool = False,
|
||||
) -> graph_db.GraphModel:
|
||||
graph = await graph_db.get_graph(
|
||||
graph_id,
|
||||
version,
|
||||
user_id=user_id,
|
||||
for_export=for_export,
|
||||
include_subgraphs=True, # needed to construct full credentials input schema
|
||||
)
|
||||
# Use cache for non-export requests
|
||||
if not for_export:
|
||||
graph = await cache.get_cached_graph(
|
||||
graph_id=graph_id,
|
||||
version=version,
|
||||
user_id=user_id,
|
||||
)
|
||||
else:
|
||||
graph = await graph_db.get_graph(
|
||||
graph_id,
|
||||
version,
|
||||
user_id=user_id,
|
||||
for_export=for_export,
|
||||
include_subgraphs=True, # needed to construct full credentials input schema
|
||||
)
|
||||
if not graph:
|
||||
raise HTTPException(status_code=404, detail=f"Graph #{graph_id} not found.")
|
||||
return graph
|
||||
@@ -681,7 +694,7 @@ async def get_graph(
|
||||
async def get_graph_all_versions(
|
||||
graph_id: str, user_id: Annotated[str, Security(get_user_id)]
|
||||
) -> Sequence[graph_db.GraphModel]:
|
||||
graphs = await graph_db.get_graph_all_versions(graph_id, user_id=user_id)
|
||||
graphs = await cache.get_cached_graph_all_versions(graph_id, user_id=user_id)
|
||||
if not graphs:
|
||||
raise HTTPException(status_code=404, detail=f"Graph #{graph_id} not found.")
|
||||
return graphs
|
||||
@@ -705,6 +718,10 @@ async def create_new_graph(
|
||||
# as the graph already valid and no sub-graphs are returned back.
|
||||
await graph_db.create_graph(graph, user_id=user_id)
|
||||
await library_db.create_library_agent(graph, user_id=user_id)
|
||||
|
||||
# Clear graphs list cache after creating new graph
|
||||
cache.get_cached_graphs.cache_delete(user_id, 1, 250)
|
||||
|
||||
return await on_graph_activate(graph, user_id=user_id)
|
||||
|
||||
|
||||
@@ -720,7 +737,19 @@ async def delete_graph(
|
||||
if active_version := await graph_db.get_graph(graph_id, user_id=user_id):
|
||||
await on_graph_deactivate(active_version, user_id=user_id)
|
||||
|
||||
return {"version_counts": await graph_db.delete_graph(graph_id, user_id=user_id)}
|
||||
result = DeleteGraphResponse(
|
||||
version_counts=await graph_db.delete_graph(graph_id, user_id=user_id)
|
||||
)
|
||||
|
||||
# Clear caches after deleting graph
|
||||
cache.get_cached_graphs.cache_delete(user_id, 1, 250)
|
||||
cache.get_cached_graph.cache_delete(graph_id, None, user_id)
|
||||
cache.get_cached_graph_all_versions.cache_delete(graph_id, user_id)
|
||||
# Clear execution caches for this graph
|
||||
for page in range(1, 10):
|
||||
cache.get_cached_graph_executions.cache_delete(graph_id, user_id, page, 25)
|
||||
|
||||
return result
|
||||
|
||||
|
||||
@v1_router.put(
|
||||
@@ -776,6 +805,12 @@ async def update_graph(
|
||||
include_subgraphs=True,
|
||||
)
|
||||
assert new_graph_version_with_subgraphs # make type checker happy
|
||||
|
||||
# Clear caches after updating graph
|
||||
cache.get_cached_graph.cache_delete(graph_id, None, user_id)
|
||||
cache.get_cached_graph_all_versions.cache_delete(graph_id, user_id)
|
||||
cache.get_cached_graphs.cache_delete(user_id, 1, 250)
|
||||
|
||||
return new_graph_version_with_subgraphs
|
||||
|
||||
|
||||
@@ -928,7 +963,7 @@ async def _stop_graph_run(
|
||||
async def list_graphs_executions(
|
||||
user_id: Annotated[str, Security(get_user_id)],
|
||||
) -> list[execution_db.GraphExecutionMeta]:
|
||||
paginated_result = await execution_db.get_graph_executions_paginated(
|
||||
paginated_result = await cache.get_cached_graphs_executions(
|
||||
user_id=user_id,
|
||||
page=1,
|
||||
page_size=250,
|
||||
@@ -950,7 +985,7 @@ async def list_graph_executions(
|
||||
25, ge=1, le=100, description="Number of executions per page"
|
||||
),
|
||||
) -> execution_db.GraphExecutionsPaginated:
|
||||
return await execution_db.get_graph_executions_paginated(
|
||||
return await cache.get_cached_graph_executions(
|
||||
graph_id=graph_id,
|
||||
user_id=user_id,
|
||||
page=page,
|
||||
|
||||
112
autogpt_platform/backend/backend/server/v2/library/cache.py
Normal file
112
autogpt_platform/backend/backend/server/v2/library/cache.py
Normal file
@@ -0,0 +1,112 @@
|
||||
"""
|
||||
Cache functions for Library API endpoints.
|
||||
|
||||
This module contains all caching decorators and helpers for the Library API,
|
||||
separated from the main routes for better organization and maintainability.
|
||||
"""
|
||||
|
||||
from autogpt_libs.utils.cache import cached
|
||||
|
||||
import backend.server.v2.library.db
|
||||
|
||||
# ===== Library Agent Caches =====
|
||||
|
||||
|
||||
# Cache library agents list for 10 minutes
|
||||
@cached(maxsize=1000, ttl_seconds=600)
|
||||
async def get_cached_library_agents(
|
||||
user_id: str,
|
||||
page: int = 1,
|
||||
page_size: int = 20,
|
||||
):
|
||||
"""Cached helper to get library agents list."""
|
||||
return await backend.server.v2.library.db.list_library_agents(
|
||||
user_id=user_id,
|
||||
page=page,
|
||||
page_size=page_size,
|
||||
)
|
||||
|
||||
|
||||
# Cache user's favorite agents for 5 minutes - favorites change more frequently
|
||||
@cached(maxsize=500, ttl_seconds=300)
|
||||
async def get_cached_library_agent_favorites(
|
||||
user_id: str,
|
||||
page: int = 1,
|
||||
page_size: int = 20,
|
||||
):
|
||||
"""Cached helper to get user's favorite library agents."""
|
||||
return await backend.server.v2.library.db.list_favorite_library_agents(
|
||||
user_id=user_id,
|
||||
page=page,
|
||||
page_size=page_size,
|
||||
)
|
||||
|
||||
|
||||
# Cache individual library agent details for 30 minutes
|
||||
@cached(maxsize=1000, ttl_seconds=1800)
|
||||
async def get_cached_library_agent(
|
||||
library_agent_id: str,
|
||||
user_id: str,
|
||||
):
|
||||
"""Cached helper to get library agent details."""
|
||||
return await backend.server.v2.library.db.get_library_agent(
|
||||
id=library_agent_id,
|
||||
user_id=user_id,
|
||||
)
|
||||
|
||||
|
||||
# Cache library agent by graph ID for 30 minutes
|
||||
@cached(maxsize=1000, ttl_seconds=1800)
|
||||
async def get_cached_library_agent_by_graph_id(
|
||||
graph_id: str,
|
||||
user_id: str,
|
||||
):
|
||||
"""Cached helper to get library agent by graph ID."""
|
||||
return await backend.server.v2.library.db.get_library_agent_by_graph_id(
|
||||
graph_id=graph_id,
|
||||
user_id=user_id,
|
||||
)
|
||||
|
||||
|
||||
# Cache library agent by store version ID for 1 hour - marketplace agents are more stable
|
||||
@cached(maxsize=500, ttl_seconds=3600)
|
||||
async def get_cached_library_agent_by_store_version(
|
||||
store_listing_version_id: str,
|
||||
user_id: str,
|
||||
):
|
||||
"""Cached helper to get library agent by store version ID."""
|
||||
return await backend.server.v2.library.db.get_library_agent_by_store_version_id(
|
||||
store_listing_version_id=store_listing_version_id,
|
||||
user_id=user_id,
|
||||
)
|
||||
|
||||
|
||||
# ===== Library Preset Caches =====
|
||||
|
||||
|
||||
# Cache library presets list for 30 minutes
|
||||
@cached(maxsize=500, ttl_seconds=1800)
|
||||
async def get_cached_library_presets(
|
||||
user_id: str,
|
||||
page: int = 1,
|
||||
page_size: int = 20,
|
||||
):
|
||||
"""Cached helper to get library presets list."""
|
||||
return await backend.server.v2.library.db.list_presets(
|
||||
user_id=user_id,
|
||||
page=page,
|
||||
page_size=page_size,
|
||||
)
|
||||
|
||||
|
||||
# Cache individual preset details for 30 minutes
|
||||
@cached(maxsize=1000, ttl_seconds=1800)
|
||||
async def get_cached_library_preset(
|
||||
preset_id: str,
|
||||
user_id: str,
|
||||
):
|
||||
"""Cached helper to get library preset details."""
|
||||
return await backend.server.v2.library.db.get_preset(
|
||||
preset_id=preset_id,
|
||||
user_id=user_id,
|
||||
)
|
||||
272
autogpt_platform/backend/backend/server/v2/library/cache_test.py
Normal file
272
autogpt_platform/backend/backend/server/v2/library/cache_test.py
Normal file
@@ -0,0 +1,272 @@
|
||||
"""
|
||||
Tests for cache invalidation in Library API routes.
|
||||
|
||||
This module tests that library caches are properly invalidated when data is modified.
|
||||
"""
|
||||
|
||||
import uuid
|
||||
from unittest.mock import AsyncMock, MagicMock, patch
|
||||
|
||||
import pytest
|
||||
|
||||
import backend.server.v2.library.cache as library_cache
|
||||
import backend.server.v2.library.db as library_db
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def mock_user_id():
|
||||
"""Generate a mock user ID for testing."""
|
||||
return str(uuid.uuid4())
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def mock_library_agent_id():
|
||||
"""Generate a mock library agent ID for testing."""
|
||||
return str(uuid.uuid4())
|
||||
|
||||
|
||||
class TestLibraryAgentCacheInvalidation:
|
||||
"""Test cache invalidation for library agent operations."""
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_add_agent_clears_list_cache(self, mock_user_id):
|
||||
"""Test that adding an agent clears the library agents list cache."""
|
||||
# Clear cache
|
||||
library_cache.get_cached_library_agents.cache_clear()
|
||||
|
||||
with patch.object(
|
||||
library_db, "list_library_agents", new_callable=AsyncMock
|
||||
) as mock_list:
|
||||
mock_response = MagicMock(agents=[], total_count=0, page=1, page_size=20)
|
||||
mock_list.return_value = mock_response
|
||||
|
||||
# First call hits database
|
||||
await library_cache.get_cached_library_agents(mock_user_id, 1, 20)
|
||||
assert mock_list.call_count == 1
|
||||
|
||||
# Second call uses cache
|
||||
await library_cache.get_cached_library_agents(mock_user_id, 1, 20)
|
||||
assert mock_list.call_count == 1 # Still 1, cache used
|
||||
|
||||
# Simulate adding an agent (cache invalidation)
|
||||
for page in range(1, 5):
|
||||
library_cache.get_cached_library_agents.cache_delete(
|
||||
mock_user_id, page, 15
|
||||
)
|
||||
library_cache.get_cached_library_agents.cache_delete(
|
||||
mock_user_id, page, 20
|
||||
)
|
||||
|
||||
# Next call should hit database
|
||||
await library_cache.get_cached_library_agents(mock_user_id, 1, 20)
|
||||
assert mock_list.call_count == 2
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_delete_agent_clears_multiple_caches(
|
||||
self, mock_user_id, mock_library_agent_id
|
||||
):
|
||||
"""Test that deleting an agent clears both specific and list caches."""
|
||||
# Clear caches
|
||||
library_cache.get_cached_library_agent.cache_clear()
|
||||
library_cache.get_cached_library_agents.cache_clear()
|
||||
|
||||
with patch.object(
|
||||
library_db, "get_library_agent", new_callable=AsyncMock
|
||||
) as mock_get, patch.object(
|
||||
library_db, "list_library_agents", new_callable=AsyncMock
|
||||
) as mock_list:
|
||||
|
||||
mock_agent = MagicMock(id=mock_library_agent_id, name="Test Agent")
|
||||
mock_get.return_value = mock_agent
|
||||
mock_list.return_value = MagicMock(agents=[mock_agent])
|
||||
|
||||
# Populate caches
|
||||
await library_cache.get_cached_library_agent(
|
||||
mock_library_agent_id, mock_user_id
|
||||
)
|
||||
await library_cache.get_cached_library_agents(mock_user_id, 1, 20)
|
||||
|
||||
initial_calls = {
|
||||
"get": mock_get.call_count,
|
||||
"list": mock_list.call_count,
|
||||
}
|
||||
|
||||
# Verify cache is used
|
||||
await library_cache.get_cached_library_agent(
|
||||
mock_library_agent_id, mock_user_id
|
||||
)
|
||||
await library_cache.get_cached_library_agents(mock_user_id, 1, 20)
|
||||
|
||||
assert mock_get.call_count == initial_calls["get"]
|
||||
assert mock_list.call_count == initial_calls["list"]
|
||||
|
||||
# Simulate delete_library_agent cache invalidation
|
||||
library_cache.get_cached_library_agent.cache_delete(
|
||||
mock_library_agent_id, mock_user_id
|
||||
)
|
||||
for page in range(1, 5):
|
||||
library_cache.get_cached_library_agents.cache_delete(
|
||||
mock_user_id, page, 15
|
||||
)
|
||||
library_cache.get_cached_library_agents.cache_delete(
|
||||
mock_user_id, page, 20
|
||||
)
|
||||
|
||||
# Next calls should hit database
|
||||
await library_cache.get_cached_library_agent(
|
||||
mock_library_agent_id, mock_user_id
|
||||
)
|
||||
await library_cache.get_cached_library_agents(mock_user_id, 1, 20)
|
||||
|
||||
assert mock_get.call_count == initial_calls["get"] + 1
|
||||
assert mock_list.call_count == initial_calls["list"] + 1
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_favorites_cache_operations(self, mock_user_id):
|
||||
"""Test that favorites cache works independently."""
|
||||
# Clear cache
|
||||
library_cache.get_cached_library_agent_favorites.cache_clear()
|
||||
|
||||
with patch.object(
|
||||
library_db, "list_favorite_library_agents", new_callable=AsyncMock
|
||||
) as mock_favs:
|
||||
mock_response = MagicMock(agents=[], total_count=0, page=1, page_size=20)
|
||||
mock_favs.return_value = mock_response
|
||||
|
||||
# First call hits database
|
||||
await library_cache.get_cached_library_agent_favorites(mock_user_id, 1, 20)
|
||||
assert mock_favs.call_count == 1
|
||||
|
||||
# Second call uses cache
|
||||
await library_cache.get_cached_library_agent_favorites(mock_user_id, 1, 20)
|
||||
assert mock_favs.call_count == 1 # Cache used
|
||||
|
||||
# Clear cache
|
||||
library_cache.get_cached_library_agent_favorites.cache_delete(
|
||||
mock_user_id, 1, 20
|
||||
)
|
||||
|
||||
# Next call hits database
|
||||
await library_cache.get_cached_library_agent_favorites(mock_user_id, 1, 20)
|
||||
assert mock_favs.call_count == 2
|
||||
|
||||
|
||||
class TestLibraryPresetCacheInvalidation:
|
||||
"""Test cache invalidation for library preset operations."""
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_preset_cache_operations(self, mock_user_id):
|
||||
"""Test preset cache and invalidation."""
|
||||
# Clear cache
|
||||
library_cache.get_cached_library_presets.cache_clear()
|
||||
library_cache.get_cached_library_preset.cache_clear()
|
||||
|
||||
preset_id = str(uuid.uuid4())
|
||||
|
||||
with patch.object(
|
||||
library_db, "list_presets", new_callable=AsyncMock
|
||||
) as mock_list, patch.object(
|
||||
library_db, "get_preset", new_callable=AsyncMock
|
||||
) as mock_get:
|
||||
|
||||
mock_preset = MagicMock(id=preset_id, name="Test Preset")
|
||||
mock_list.return_value = MagicMock(presets=[mock_preset])
|
||||
mock_get.return_value = mock_preset
|
||||
|
||||
# Populate caches
|
||||
await library_cache.get_cached_library_presets(mock_user_id, 1, 20)
|
||||
await library_cache.get_cached_library_preset(preset_id, mock_user_id)
|
||||
|
||||
initial_calls = {
|
||||
"list": mock_list.call_count,
|
||||
"get": mock_get.call_count,
|
||||
}
|
||||
|
||||
# Verify cache is used
|
||||
await library_cache.get_cached_library_presets(mock_user_id, 1, 20)
|
||||
await library_cache.get_cached_library_preset(preset_id, mock_user_id)
|
||||
|
||||
assert mock_list.call_count == initial_calls["list"]
|
||||
assert mock_get.call_count == initial_calls["get"]
|
||||
|
||||
# Clear specific preset cache
|
||||
library_cache.get_cached_library_preset.cache_delete(
|
||||
preset_id, mock_user_id
|
||||
)
|
||||
|
||||
# Clear list cache
|
||||
library_cache.get_cached_library_presets.cache_delete(mock_user_id, 1, 20)
|
||||
|
||||
# Next calls should hit database
|
||||
await library_cache.get_cached_library_presets(mock_user_id, 1, 20)
|
||||
await library_cache.get_cached_library_preset(preset_id, mock_user_id)
|
||||
|
||||
assert mock_list.call_count == initial_calls["list"] + 1
|
||||
assert mock_get.call_count == initial_calls["get"] + 1
|
||||
|
||||
|
||||
class TestLibraryCacheMetrics:
|
||||
"""Test library cache metrics and management."""
|
||||
|
||||
def test_cache_info_structure(self):
|
||||
"""Test that cache_info returns expected structure."""
|
||||
info = library_cache.get_cached_library_agents.cache_info()
|
||||
|
||||
assert "size" in info
|
||||
assert "maxsize" in info
|
||||
assert "ttl_seconds" in info
|
||||
assert info["maxsize"] == 1000 # As defined in cache.py
|
||||
assert info["ttl_seconds"] == 600 # 10 minutes
|
||||
|
||||
def test_all_library_caches_can_be_cleared(self):
|
||||
"""Test that all library caches can be cleared."""
|
||||
# Clear all library caches
|
||||
library_cache.get_cached_library_agents.cache_clear()
|
||||
library_cache.get_cached_library_agent_favorites.cache_clear()
|
||||
library_cache.get_cached_library_agent.cache_clear()
|
||||
library_cache.get_cached_library_agent_by_graph_id.cache_clear()
|
||||
library_cache.get_cached_library_agent_by_store_version.cache_clear()
|
||||
library_cache.get_cached_library_presets.cache_clear()
|
||||
library_cache.get_cached_library_preset.cache_clear()
|
||||
|
||||
# Verify all are empty
|
||||
assert library_cache.get_cached_library_agents.cache_info()["size"] == 0
|
||||
assert (
|
||||
library_cache.get_cached_library_agent_favorites.cache_info()["size"] == 0
|
||||
)
|
||||
assert library_cache.get_cached_library_agent.cache_info()["size"] == 0
|
||||
assert (
|
||||
library_cache.get_cached_library_agent_by_graph_id.cache_info()["size"] == 0
|
||||
)
|
||||
assert (
|
||||
library_cache.get_cached_library_agent_by_store_version.cache_info()["size"]
|
||||
== 0
|
||||
)
|
||||
assert library_cache.get_cached_library_presets.cache_info()["size"] == 0
|
||||
assert library_cache.get_cached_library_preset.cache_info()["size"] == 0
|
||||
|
||||
def test_cache_ttl_values(self):
|
||||
"""Test that cache TTL values are set correctly."""
|
||||
# Library agents - 10 minutes
|
||||
assert (
|
||||
library_cache.get_cached_library_agents.cache_info()["ttl_seconds"] == 600
|
||||
)
|
||||
|
||||
# Favorites - 5 minutes (more dynamic)
|
||||
assert (
|
||||
library_cache.get_cached_library_agent_favorites.cache_info()["ttl_seconds"]
|
||||
== 300
|
||||
)
|
||||
|
||||
# Individual agent - 30 minutes
|
||||
assert (
|
||||
library_cache.get_cached_library_agent.cache_info()["ttl_seconds"] == 1800
|
||||
)
|
||||
|
||||
# Presets - 30 minutes
|
||||
assert (
|
||||
library_cache.get_cached_library_presets.cache_info()["ttl_seconds"] == 1800
|
||||
)
|
||||
assert (
|
||||
library_cache.get_cached_library_preset.cache_info()["ttl_seconds"] == 1800
|
||||
)
|
||||
@@ -5,6 +5,7 @@ import autogpt_libs.auth as autogpt_auth_lib
|
||||
from fastapi import APIRouter, Body, HTTPException, Query, Security, status
|
||||
from fastapi.responses import Response
|
||||
|
||||
import backend.server.v2.library.cache as library_cache
|
||||
import backend.server.v2.library.db as library_db
|
||||
import backend.server.v2.library.model as library_model
|
||||
import backend.server.v2.store.exceptions as store_exceptions
|
||||
@@ -64,13 +65,22 @@ async def list_library_agents(
|
||||
HTTPException: If a server/database error occurs.
|
||||
"""
|
||||
try:
|
||||
return await library_db.list_library_agents(
|
||||
user_id=user_id,
|
||||
search_term=search_term,
|
||||
sort_by=sort_by,
|
||||
page=page,
|
||||
page_size=page_size,
|
||||
)
|
||||
# Use cache for default queries (no search term, default sort)
|
||||
if search_term is None and sort_by == library_model.LibraryAgentSort.UPDATED_AT:
|
||||
return await library_cache.get_cached_library_agents(
|
||||
user_id=user_id,
|
||||
page=page,
|
||||
page_size=page_size,
|
||||
)
|
||||
else:
|
||||
# Direct DB query for searches and custom sorts
|
||||
return await library_db.list_library_agents(
|
||||
user_id=user_id,
|
||||
search_term=search_term,
|
||||
sort_by=sort_by,
|
||||
page=page,
|
||||
page_size=page_size,
|
||||
)
|
||||
except Exception as e:
|
||||
logger.error(f"Could not list library agents for user #{user_id}: {e}")
|
||||
raise HTTPException(
|
||||
@@ -114,7 +124,7 @@ async def list_favorite_library_agents(
|
||||
HTTPException: If a server/database error occurs.
|
||||
"""
|
||||
try:
|
||||
return await library_db.list_favorite_library_agents(
|
||||
return await library_cache.get_cached_library_agent_favorites(
|
||||
user_id=user_id,
|
||||
page=page,
|
||||
page_size=page_size,
|
||||
@@ -132,7 +142,9 @@ async def get_library_agent(
|
||||
library_agent_id: str,
|
||||
user_id: str = Security(autogpt_auth_lib.get_user_id),
|
||||
) -> library_model.LibraryAgent:
|
||||
return await library_db.get_library_agent(id=library_agent_id, user_id=user_id)
|
||||
return await library_cache.get_cached_library_agent(
|
||||
library_agent_id=library_agent_id, user_id=user_id
|
||||
)
|
||||
|
||||
|
||||
@router.get("/by-graph/{graph_id}")
|
||||
@@ -210,11 +222,18 @@ async def add_marketplace_agent_to_library(
|
||||
HTTPException(500): If a server/database error occurs.
|
||||
"""
|
||||
try:
|
||||
return await library_db.add_store_agent_to_library(
|
||||
result = await library_db.add_store_agent_to_library(
|
||||
store_listing_version_id=store_listing_version_id,
|
||||
user_id=user_id,
|
||||
)
|
||||
|
||||
# Clear library caches after adding new agent
|
||||
for page in range(1, 5):
|
||||
library_cache.get_cached_library_agents.cache_delete(user_id, page, 15)
|
||||
library_cache.get_cached_library_agents.cache_delete(user_id, page, 20)
|
||||
|
||||
return result
|
||||
|
||||
except store_exceptions.AgentNotFoundError as e:
|
||||
logger.warning(
|
||||
f"Could not find store listing version {store_listing_version_id} "
|
||||
@@ -320,6 +339,13 @@ async def delete_library_agent(
|
||||
await library_db.delete_library_agent(
|
||||
library_agent_id=library_agent_id, user_id=user_id
|
||||
)
|
||||
|
||||
# Clear caches after deleting agent
|
||||
library_cache.get_cached_library_agent.cache_delete(library_agent_id, user_id)
|
||||
for page in range(1, 5):
|
||||
library_cache.get_cached_library_agents.cache_delete(user_id, page, 15)
|
||||
library_cache.get_cached_library_agents.cache_delete(user_id, page, 20)
|
||||
|
||||
return Response(status_code=status.HTTP_204_NO_CONTENT)
|
||||
except NotFoundError as e:
|
||||
raise HTTPException(
|
||||
|
||||
@@ -4,6 +4,7 @@ from typing import Any, Optional
|
||||
import autogpt_libs.auth as autogpt_auth_lib
|
||||
from fastapi import APIRouter, Body, HTTPException, Query, Security, status
|
||||
|
||||
import backend.server.v2.library.cache as library_cache
|
||||
import backend.server.v2.library.db as db
|
||||
import backend.server.v2.library.model as models
|
||||
from backend.data.execution import GraphExecutionMeta
|
||||
@@ -51,12 +52,21 @@ async def list_presets(
|
||||
models.LibraryAgentPresetResponse: A response containing the list of presets.
|
||||
"""
|
||||
try:
|
||||
return await db.list_presets(
|
||||
user_id=user_id,
|
||||
graph_id=graph_id,
|
||||
page=page,
|
||||
page_size=page_size,
|
||||
)
|
||||
# Use cache only for default queries (no filter)
|
||||
if graph_id is None:
|
||||
return await library_cache.get_cached_library_presets(
|
||||
user_id,
|
||||
page,
|
||||
page_size,
|
||||
)
|
||||
else:
|
||||
# Direct DB query for filtered requests
|
||||
return await db.list_presets(
|
||||
user_id=user_id,
|
||||
graph_id=graph_id,
|
||||
page=page,
|
||||
page_size=page_size,
|
||||
)
|
||||
except Exception as e:
|
||||
logger.exception("Failed to list presets for user %s: %s", user_id, e)
|
||||
raise HTTPException(
|
||||
@@ -87,7 +97,7 @@ async def get_preset(
|
||||
HTTPException: If the preset is not found or an error occurs.
|
||||
"""
|
||||
try:
|
||||
preset = await db.get_preset(user_id, preset_id)
|
||||
preset = await library_cache.get_cached_library_preset(preset_id, user_id)
|
||||
except Exception as e:
|
||||
logger.exception(
|
||||
"Error retrieving preset %s for user %s: %s", preset_id, user_id, e
|
||||
@@ -131,9 +141,16 @@ async def create_preset(
|
||||
"""
|
||||
try:
|
||||
if isinstance(preset, models.LibraryAgentPresetCreatable):
|
||||
return await db.create_preset(user_id, preset)
|
||||
result = await db.create_preset(user_id, preset)
|
||||
else:
|
||||
return await db.create_preset_from_graph_execution(user_id, preset)
|
||||
result = await db.create_preset_from_graph_execution(user_id, preset)
|
||||
|
||||
# Clear presets list cache after creating new preset
|
||||
for page in range(1, 5):
|
||||
library_cache.get_cached_library_presets.cache_delete(user_id, page, 10)
|
||||
library_cache.get_cached_library_presets.cache_delete(user_id, page, 20)
|
||||
|
||||
return result
|
||||
except NotFoundError as e:
|
||||
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(e))
|
||||
except Exception as e:
|
||||
@@ -200,6 +217,12 @@ async def setup_trigger(
|
||||
is_active=True,
|
||||
),
|
||||
)
|
||||
|
||||
# Clear presets list cache after creating new preset
|
||||
for page in range(1, 5):
|
||||
library_cache.get_cached_library_presets.cache_delete(user_id, page, 10)
|
||||
library_cache.get_cached_library_presets.cache_delete(user_id, page, 20)
|
||||
|
||||
return new_preset
|
||||
|
||||
|
||||
@@ -278,6 +301,12 @@ async def update_preset(
|
||||
description=preset.description,
|
||||
is_active=preset.is_active,
|
||||
)
|
||||
|
||||
# Clear caches after updating preset
|
||||
library_cache.get_cached_library_preset.cache_delete(preset_id, user_id)
|
||||
for page in range(1, 5):
|
||||
library_cache.get_cached_library_presets.cache_delete(user_id, page, 10)
|
||||
library_cache.get_cached_library_presets.cache_delete(user_id, page, 20)
|
||||
except Exception as e:
|
||||
logger.exception("Preset update failed for user %s: %s", user_id, e)
|
||||
raise HTTPException(
|
||||
@@ -351,6 +380,12 @@ async def delete_preset(
|
||||
|
||||
try:
|
||||
await db.delete_preset(user_id, preset_id)
|
||||
|
||||
# Clear caches after deleting preset
|
||||
library_cache.get_cached_library_preset.cache_delete(preset_id, user_id)
|
||||
for page in range(1, 5):
|
||||
library_cache.get_cached_library_presets.cache_delete(user_id, page, 10)
|
||||
library_cache.get_cached_library_presets.cache_delete(user_id, page, 20)
|
||||
except Exception as e:
|
||||
logger.exception(
|
||||
"Error deleting preset %s for user %s: %s", preset_id, user_id, e
|
||||
|
||||
116
autogpt_platform/backend/backend/server/v2/store/cache.py
Normal file
116
autogpt_platform/backend/backend/server/v2/store/cache.py
Normal file
@@ -0,0 +1,116 @@
|
||||
"""
|
||||
Cache functions for Store API endpoints.
|
||||
|
||||
This module contains all caching decorators and helpers for the Store API,
|
||||
separated from the main routes for better organization and maintainability.
|
||||
"""
|
||||
|
||||
from autogpt_libs.utils.cache import cached
|
||||
|
||||
import backend.server.v2.store.db
|
||||
|
||||
|
||||
# Cache user profiles for 1 hour per user
|
||||
@cached(maxsize=1000, ttl_seconds=3600)
|
||||
async def _get_cached_user_profile(user_id: str):
|
||||
"""Cached helper to get user profile."""
|
||||
return await backend.server.v2.store.db.get_user_profile(user_id)
|
||||
|
||||
|
||||
# Cache store agents list for 15 minutes
|
||||
# Different cache entries for different query combinations
|
||||
@cached(maxsize=5000, ttl_seconds=900)
|
||||
async def _get_cached_store_agents(
|
||||
featured: bool,
|
||||
creator: str | None,
|
||||
sorted_by: str | None,
|
||||
search_query: str | None,
|
||||
category: str | None,
|
||||
page: int,
|
||||
page_size: int,
|
||||
):
|
||||
"""Cached helper to get store agents."""
|
||||
return await backend.server.v2.store.db.get_store_agents(
|
||||
featured=featured,
|
||||
creators=[creator] if creator else None,
|
||||
sorted_by=sorted_by,
|
||||
search_query=search_query,
|
||||
category=category,
|
||||
page=page,
|
||||
page_size=page_size,
|
||||
)
|
||||
|
||||
|
||||
# Cache individual agent details for 15 minutes
|
||||
@cached(maxsize=200, ttl_seconds=900)
|
||||
async def _get_cached_agent_details(username: str, agent_name: str):
|
||||
"""Cached helper to get agent details."""
|
||||
return await backend.server.v2.store.db.get_store_agent_details(
|
||||
username=username, agent_name=agent_name
|
||||
)
|
||||
|
||||
|
||||
# Cache agent graphs for 1 hour
|
||||
@cached(maxsize=200, ttl_seconds=3600)
|
||||
async def _get_cached_agent_graph(store_listing_version_id: str):
|
||||
"""Cached helper to get agent graph."""
|
||||
return await backend.server.v2.store.db.get_available_graph(
|
||||
store_listing_version_id
|
||||
)
|
||||
|
||||
|
||||
# Cache agent by version for 1 hour
|
||||
@cached(maxsize=200, ttl_seconds=3600)
|
||||
async def _get_cached_store_agent_by_version(store_listing_version_id: str):
|
||||
"""Cached helper to get store agent by version ID."""
|
||||
return await backend.server.v2.store.db.get_store_agent_by_version_id(
|
||||
store_listing_version_id
|
||||
)
|
||||
|
||||
|
||||
# Cache creators list for 1 hour
|
||||
@cached(maxsize=200, ttl_seconds=3600)
|
||||
async def _get_cached_store_creators(
|
||||
featured: bool,
|
||||
search_query: str | None,
|
||||
sorted_by: str | None,
|
||||
page: int,
|
||||
page_size: int,
|
||||
):
|
||||
"""Cached helper to get store creators."""
|
||||
return await backend.server.v2.store.db.get_store_creators(
|
||||
featured=featured,
|
||||
search_query=search_query,
|
||||
sorted_by=sorted_by,
|
||||
page=page,
|
||||
page_size=page_size,
|
||||
)
|
||||
|
||||
|
||||
# Cache individual creator details for 1 hour
|
||||
@cached(maxsize=100, ttl_seconds=3600)
|
||||
async def _get_cached_creator_details(username: str):
|
||||
"""Cached helper to get creator details."""
|
||||
return await backend.server.v2.store.db.get_store_creator_details(
|
||||
username=username.lower()
|
||||
)
|
||||
|
||||
|
||||
# Cache user's own agents for 5 mins (shorter TTL as this changes more frequently)
|
||||
@cached(maxsize=500, ttl_seconds=300)
|
||||
async def _get_cached_my_agents(user_id: str, page: int, page_size: int):
|
||||
"""Cached helper to get user's agents."""
|
||||
return await backend.server.v2.store.db.get_my_agents(
|
||||
user_id, page=page, page_size=page_size
|
||||
)
|
||||
|
||||
|
||||
# Cache user's submissions for 1 hour (shorter TTL as this changes frequently)
|
||||
@cached(maxsize=500, ttl_seconds=3600)
|
||||
async def _get_cached_submissions(user_id: str, page: int, page_size: int):
|
||||
"""Cached helper to get user's submissions."""
|
||||
return await backend.server.v2.store.db.get_store_submissions(
|
||||
user_id=user_id,
|
||||
page=page,
|
||||
page_size=page_size,
|
||||
)
|
||||
@@ -6,7 +6,6 @@ import urllib.parse
|
||||
import autogpt_libs.auth
|
||||
import fastapi
|
||||
import fastapi.responses
|
||||
from autogpt_libs.utils.cache import cached
|
||||
|
||||
import backend.data.graph
|
||||
import backend.server.v2.store.db
|
||||
@@ -15,123 +14,22 @@ import backend.server.v2.store.image_gen
|
||||
import backend.server.v2.store.media
|
||||
import backend.server.v2.store.model
|
||||
import backend.util.json
|
||||
from backend.server.v2.store.cache import (
|
||||
_get_cached_agent_details,
|
||||
_get_cached_agent_graph,
|
||||
_get_cached_creator_details,
|
||||
_get_cached_my_agents,
|
||||
_get_cached_store_agent_by_version,
|
||||
_get_cached_store_agents,
|
||||
_get_cached_store_creators,
|
||||
_get_cached_submissions,
|
||||
_get_cached_user_profile,
|
||||
)
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
router = fastapi.APIRouter()
|
||||
|
||||
|
||||
##############################################
|
||||
############### Caches #######################
|
||||
##############################################
|
||||
|
||||
|
||||
# Cache user profiles for 1 hour per user
|
||||
@cached(maxsize=1000, ttl_seconds=3600)
|
||||
async def _get_cached_user_profile(user_id: str):
|
||||
"""Cached helper to get user profile."""
|
||||
return await backend.server.v2.store.db.get_user_profile(user_id)
|
||||
|
||||
|
||||
# Cache store agents list for 15 minutes
|
||||
# Different cache entries for different query combinations
|
||||
@cached(maxsize=5000, ttl_seconds=900)
|
||||
async def _get_cached_store_agents(
|
||||
featured: bool,
|
||||
creator: str | None,
|
||||
sorted_by: str | None,
|
||||
search_query: str | None,
|
||||
category: str | None,
|
||||
page: int,
|
||||
page_size: int,
|
||||
):
|
||||
"""Cached helper to get store agents."""
|
||||
return await backend.server.v2.store.db.get_store_agents(
|
||||
featured=featured,
|
||||
creators=[creator] if creator else None,
|
||||
sorted_by=sorted_by,
|
||||
search_query=search_query,
|
||||
category=category,
|
||||
page=page,
|
||||
page_size=page_size,
|
||||
)
|
||||
|
||||
|
||||
# Cache individual agent details for 15 minutes
|
||||
@cached(maxsize=200, ttl_seconds=900)
|
||||
async def _get_cached_agent_details(username: str, agent_name: str):
|
||||
"""Cached helper to get agent details."""
|
||||
return await backend.server.v2.store.db.get_store_agent_details(
|
||||
username=username, agent_name=agent_name
|
||||
)
|
||||
|
||||
|
||||
# Cache agent graphs for 1 hour
|
||||
@cached(maxsize=200, ttl_seconds=3600)
|
||||
async def _get_cached_agent_graph(store_listing_version_id: str):
|
||||
"""Cached helper to get agent graph."""
|
||||
return await backend.server.v2.store.db.get_available_graph(
|
||||
store_listing_version_id
|
||||
)
|
||||
|
||||
|
||||
# Cache agent by version for 1 hour
|
||||
@cached(maxsize=200, ttl_seconds=3600)
|
||||
async def _get_cached_store_agent_by_version(store_listing_version_id: str):
|
||||
"""Cached helper to get store agent by version ID."""
|
||||
return await backend.server.v2.store.db.get_store_agent_by_version_id(
|
||||
store_listing_version_id
|
||||
)
|
||||
|
||||
|
||||
# Cache creators list for 1 hour
|
||||
@cached(maxsize=200, ttl_seconds=3600)
|
||||
async def _get_cached_store_creators(
|
||||
featured: bool,
|
||||
search_query: str | None,
|
||||
sorted_by: str | None,
|
||||
page: int,
|
||||
page_size: int,
|
||||
):
|
||||
"""Cached helper to get store creators."""
|
||||
return await backend.server.v2.store.db.get_store_creators(
|
||||
featured=featured,
|
||||
search_query=search_query,
|
||||
sorted_by=sorted_by,
|
||||
page=page,
|
||||
page_size=page_size,
|
||||
)
|
||||
|
||||
|
||||
# Cache individual creator details for 1 hour
|
||||
@cached(maxsize=100, ttl_seconds=3600)
|
||||
async def _get_cached_creator_details(username: str):
|
||||
"""Cached helper to get creator details."""
|
||||
return await backend.server.v2.store.db.get_store_creator_details(
|
||||
username=username.lower()
|
||||
)
|
||||
|
||||
|
||||
# Cache user's own agents for 5 mins (shorter TTL as this changes more frequently)
|
||||
@cached(maxsize=500, ttl_seconds=300)
|
||||
async def _get_cached_my_agents(user_id: str, page: int, page_size: int):
|
||||
"""Cached helper to get user's agents."""
|
||||
return await backend.server.v2.store.db.get_my_agents(
|
||||
user_id, page=page, page_size=page_size
|
||||
)
|
||||
|
||||
|
||||
# Cache user's submissions for 1 hour (shorter TTL as this changes frequently)
|
||||
@cached(maxsize=500, ttl_seconds=3600)
|
||||
async def _get_cached_submissions(user_id: str, page: int, page_size: int):
|
||||
"""Cached helper to get user's submissions."""
|
||||
return await backend.server.v2.store.db.get_store_submissions(
|
||||
user_id=user_id,
|
||||
page=page,
|
||||
page_size=page_size,
|
||||
)
|
||||
|
||||
|
||||
##############################################
|
||||
############### Profile Endpoints ############
|
||||
##############################################
|
||||
|
||||
Reference in New Issue
Block a user